README.md

metadata

language: en
license: apache-2.0
tags:
  - fine-tuned
  - gemma
  - lora
  - gemma-garage
base_model: google/gemma-3-1b-it
pipeline_tag: text-generation

gemma-3-1b-it-fine-tuned-demo-5

Fine-tuned google/gemma-3-1b-it model from Gemma Garage

This model was fine-tuned using Gemma Garage, a platform for fine-tuning Gemma models with LoRA.

Model Details

• Base Model: google/gemma-3-1b-it
• Fine-tuning Method: LoRA (Low-Rank Adaptation)
• Training Platform: Gemma Garage
• Fine-tuned on: 2025-08-21

Usage

from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("LucasFMartins/gemma-3-1b-it-fine-tuned-demo-5")
model = AutoModelForCausalLM.from_pretrained("LucasFMartins/gemma-3-1b-it-fine-tuned-demo-5")

# Generate text
inputs = tokenizer("Your prompt here", return_tensors="pt")
outputs = model.generate(**inputs, max_new_tokens=100)
response = tokenizer.decode(outputs[0], skip_special_tokens=True)
print(response)

Training Details

This model was fine-tuned using the Gemma Garage platform with the following configuration:

• Request ID: 7c24eaa3-6289-41e4-b09a-c7e963eb5ed2
• Training completed on: 2025-08-21 01:38:57 UTC

For more information about Gemma Garage, visit our GitHub repository.